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1.需要统计的文件
2.单个文件的内容
3.程序内容
package com.test4;
import java.io.IOException;
import java.util.Iterator;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
public class CodeX {
/**
* @param args
* @throws IOException
* @throws InterruptedException
* @throws ClassNotFoundException
*/
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
// TODO Auto-generated method stub
Configuration conf = new Configuration();
conf.set("fs.default.name", "hdfs://localhost:9000");
String[] otherArgs = (new GenericOptionsParser(conf,args)).getRemainingArgs();
if(otherArgs.length<2){
System.err.println("Usage:CodeX<in><out>");
System.exit(2);
}
Job job = Job.getInstance(conf,"CodeX");
job.setJarByClass(CodeX.class);
job.setMapperClass(CodeX.Map.class);
System.out.println("Mapper over");
// job.setCombinerClass(CodeX.Reduce.class);
job.setReducerClass(CodeX.Reduce.class);
System.out.println("Reduce over");
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
System.out.println("all over");
for(int i = 0;i<otherArgs.length-1;i++){
FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
}
FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length-1]));
System.exit(job.waitForCompletion(true)?0:1);
}
public static class Map extends Mapper<Object,Text,Text,Text>{
private Text text = new Text();
private Text keys = new Text();
private int no = 0;
public Map(){
}
public void map(Object key,Text value,Context context)throws IOException,InterruptedException{
String line = value.toString();
this.no +=1;
System.out.println(this.no+line);
String[] lines = line.split("\\s+");
for(int i =0;i<lines.length;i++){
System.out.print(lines[i]+" ~~");
}
if(this.no == 1){
this.keys.set("股票编码："+lines[0]);
}
if(this.no > 2){
if(lines.length == 7){
this.text.set(lines[0]+"+"+lines[1]+"+"+lines[4]);
System.out.println(this.no+"---->"+lines[0]+"+"+lines[1]+"+"+lines[4]);
context.write(this.keys, this.text);
}
}
}
}
public static class Reduce extends Reducer<Text,Text,Text,Text>{
private Text text = new Text();
public void reduce(Text key,Iterable<Text> values,Context context) throws IOException, InterruptedException{
double sum1 = 0.0;
double sum2 = 0.0;
int n = 0;
System.out.println("...................start"+key.toString());
Iterator<Text> $it = values.iterator();
while($it.hasNext()){
String record =$it.next().toString();
System.out.println(n);
System.out.println("原始数据："+record);
n++;
System.out.println("第"+n+"次循环");
String []result = record.split("[+]");
System.out.println(Double.valueOf(result[1])+" "+Double.valueOf(result[2]));
sum1 +=(Double.valueOf(result[1])*100);
sum2 +=(Double.valueOf(result[2])*100);
System.out.println(sum1/100+" "+sum2/100);
}
System.out.println("最后的结果："+sum1/100+" "+sum2/100);
double openPrise = sum1/(100*n);
double closePrise = sum2/(100*n);
openPrise = (double)Math.round(openPrise*100)/100;
closePrise = (double)Math.round(closePrise*100)/100;
System.out.println("平均值："+openPrise+" "+closePrise);
Double.toString(closePrise);
String result ="开盘平均价："+Double.toString(openPrise)+", 收盘平均价："+Double.toString(closePrise);
this.text.set(result);
context.write(key, this.text);
}
}
}
